Data Scientist

With over 10 million members and more than 800,000 listings, GOAT is the world’s largest marketplace for authentic sneakers. Our Data Science team supports many vital tasks around the company including authentication, personalization, fraud detection, business development, operations, and much more.

In this role you will:

Build machine learning models driving predictive APIs

Enrich the product discovery journey with recommendation streams

Solve complex logistics optimization problems

Work in cross functional teams to develop novel features and strategies

Identify and validate new features to be used across our machine learning services

Communicate the results and methodology effectively within the team and to external stakeholders

Design and run company wide experiments to provide statically validated insight

Proficiency in at least one mathematical programming tool such as Python or R

A quick learner, a self-starter, able to work independently, and you're willing (and able) to handle the pressures of an increasing level of responsibility

Benefits and Perks:

Medical, dental and vision coverage

Competitive salary and equity grants

Daily catered lunches from LA’s best restaurants

Unlimited vacation and sick days

Founded in 2015 and based in Los Angeles, California, GOAT is the safest way to buy and sell sneakers. Whether you’re looking to buy rare sneakers, discover new ones, or earn money by listing sneakers you already own, GOAT is your destination. And with an authentication service, buyer protection guarantee and great customer service, it’s the safest option in the industry.

We are backed by some of the leading names in venture capital, including Andreessen Horowitz, Ashton Kutcher, Guy Oseary, Matrix Partners, NEA, SV Angel, Upfront Ventures and Y Combinator.

GOAT will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, if applicable.